Measuring device-specific physical activity trackability in multi-device environments
Measuring device-specific physical activity trackability in multi-device environments
Wrist-worn wearables such as smartwatches and fitness trackers have become widely used with smartphones in recent years. Interestingly, both types of devices support physical activity tracking, but that is only available when users wear or carry their devices, and thus, trackability is heavily influenced by user contexts. To analyze physical activity trackability in a multi-device environment, this paper explores device-specific coverage measures based on activity bouts.
device coverage, physical activity, smartphones, wearables, Smartphones, Device Coverage, Wearables, Physical Activity
393-394
Park, Sangjun
c60eec1d-93bc-4b8c-bc66-4f378801b951
Park, Eunji
b01a68f7-898f-467e-a8e1-2be34f93a729
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Lee, Uichin
1ecd5ae0-ae98-4c0f-9c6d-f2c15b606fe4
20 March 2023
Park, Sangjun
c60eec1d-93bc-4b8c-bc66-4f378801b951
Park, Eunji
b01a68f7-898f-467e-a8e1-2be34f93a729
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Lee, Uichin
1ecd5ae0-ae98-4c0f-9c6d-f2c15b606fe4
Park, Sangjun, Park, Eunji, Lee, Paul H. and Lee, Uichin
(2023)
Measuring device-specific physical activity trackability in multi-device environments.
Byun, Hyeran, Ooi, Beng Chin, Tanaka, Katsumi, Lee, Sang-Won, Li, Zhixu, Nadamoto, Akiyo, Song, Giltae, Ha, Young-guk, Sumiya, Kazutoshi, Yuncheng, Wu, Kwon, Hyuk-Yoon and Yamamoto, Takehiro
(eds.)
In Proceedings of the 2023 IEEE International Conference on Big Data and Smart Computing (BigComp).
IEEE.
.
(doi:10.1109/BigComp57234.2023.00096).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Wrist-worn wearables such as smartwatches and fitness trackers have become widely used with smartphones in recent years. Interestingly, both types of devices support physical activity tracking, but that is only available when users wear or carry their devices, and thus, trackability is heavily influenced by user contexts. To analyze physical activity trackability in a multi-device environment, this paper explores device-specific coverage measures based on activity bouts.
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Measuring_Device-Specific_Physical_Activity_Trackability_in_Multi-Device_Environments
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Published date: 20 March 2023
Additional Information:
Funding Information:
This research was supported by the Basic Science Research Program through the National Research Founda- tion(NRF) of Korea, funded by the Korean government (MSIT) (2020R1A4A1018774).
Funding Information:
This research was supported by the Basic Science Research Program through the National Research Founda-tion(NRF) of Korea, funded by the Korean government (MSIT) (2020R1A4A1018774).
Publisher Copyright:
© 2023 IEEE.
Venue - Dates:
2023 IEEE International Conference on Big Data and Smart Computing (BigComp), , Jeju, Korea, Republic of, 2023-02-13 - 2023-02-16
Keywords:
device coverage, physical activity, smartphones, wearables, Smartphones, Device Coverage, Wearables, Physical Activity
Identifiers
Local EPrints ID: 478666
URI: http://eprints.soton.ac.uk/id/eprint/478666
PURE UUID: 8482e66f-697e-48e4-b357-0aac1d1a530f
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Date deposited: 06 Jul 2023 16:51
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Sangjun Park
Author:
Eunji Park
Author:
Paul H. Lee
Author:
Uichin Lee
Editor:
Hyeran Byun
Editor:
Beng Chin Ooi
Editor:
Katsumi Tanaka
Editor:
Sang-Won Lee
Editor:
Zhixu Li
Editor:
Akiyo Nadamoto
Editor:
Giltae Song
Editor:
Young-guk Ha
Editor:
Kazutoshi Sumiya
Editor:
Wu Yuncheng
Editor:
Hyuk-Yoon Kwon
Editor:
Takehiro Yamamoto
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